Dublin, Feb. 26, 2019 (GLOBE NEWSWIRE) -- The "Event Stream Processing Market by Application (Fraud Detection, Predictive Maintenance, Algorithmic Trading, and Network Monitoring), Component, Deployment Mode, Type (Data Integration and Analytics), Vertical, and Region - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering.

The Global Event Stream Processing (ESP) Market Size to Grow From USD 690 Million in 2018 to USD 1,838 Million By 2023, at a CAGR of 21.6%

The major factors driving the growth of the ESP market are the increasing demand for IoT and smart devices, and the growing focus on drawing real-time insights to gain a competitive edge. The major factors that are restraining the growth of the ESP market are the lack of integration with the legacy architecture, and growth in the market competition.

To gain competitive edge, various verticals, such as Banking, Financial Services and Insurance (BSFI); IT and telecommunications; retail and eCommerce; manufacturing; energy and utilities; and transportation and logistics; are adopting IoT and sensor enabledmobile devices.

Traditionally, organizations used to store the data in a database and then were able to analyze it using batch processing. The unexpected growth in the adoption of sensors, mobile devices, and networks has resulted into an exponential increase in the data volume. Moreover, organizations need to extract insights from their real-time business events, as the data loses its value with the passage of time.

However, the traditional stream processing solutions were not able to process the data in real time. Hence, the stream processing has evolved to cope up with the analysis of the real-time streaming data. Globally, ESP solutions are rapidly overtaking the traditional stream processing solutions. These solutions enables an organization to manage any situation in real time. ESP is the processing of continuous data streams flowing through IoT devices and sensors. It helps in identifying patterns and anomalies that are important to an enterprise and enables organizations to respond quickly to the critical events, thus saving time, money, and resources. It is also known as real-time streaming analytics, streaming analytics, and event processing.

The predictive maintenance segment is expected to account for the highest growth rate in the ESP market in coming 4-5 years, as there is an increase in the demand for higher asset utilization and reliability. Predictive maintenance is an application that keeps track of all the hardware and software, as well as the virtual infrastructure and non-IT assets of an enterprise, right form their deployment to retirement. The poor management of assets may lead to wasted resources, service delays, compliance issues, or inaccurate inventory.

Hence, to overcome these issues, it is important for an organization to know the assets they own; and about its users, configurations, costs, and maintenance requirements. Assets failure is a serious issue for any organization, which can lead to poor service delivery and loss of time in reaping or replacement. Hence, ESP solutions would help enterprises avoid asset failure by taking proactive actions.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Attractive Opportunities in the Event Stream Processing Market
4.2 Top 4 Applications
4.3 Top 3 Applications and Regions
4.4 Market Potential, By Vertical

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Demand for IoT and Smart Devices to Drive the Adoption of ESP Solutions
5.2.1.2 Growing Focus on Analyzing Large Volumes of Data From Multiple Sources to Gain Real-Time Insights
5.2.2 Restraints
5.2.2.1 Lack of Integration With the Legacy Architecture
5.2.2.2 Intensifying Market Competition
5.2.3 Opportunities
5.2.3.1 Growing Adoption of Cloud Solutions
5.2.4 Challenges
5.2.4.1 Data Security and Privacy Concerns
5.2.4.2 Lack of Skilled Personnel
5.3 Regulatory Implications
5.3.1 Introduction
5.3.2 General Data Protection Regulation
5.3.3 Health Insurance Portability and Accountability Act
5.3.4 Payment Card Industry Data Security Standard
5.3.5 SOC 2 Type II Compliance
5.3.6 ISO/IEC 27001
5.3.7 The Gramm-Leach-Bliley Act
5.4 Use Cases
5.4.1 Introduction

6 Event Stream Processing Market, By Application
6.1 Introduction
6.2 Fraud Detection
6.2.1 Need for Reducing Operational Risks and Financial Losses to Increase Adoption of Fraud Detection Application
6.3 Predictive Maintenance
6.3.1 Demand for Higher Asset Utilization and Reliability to Accelerate Adoption of Predictive Maintenance Application
6.4 Algorithmic Trading
6.4.1 Fast and Reliable Processing of Trade Requests to Boost Growth of Algorithmic Trading Application
6.5 Network Monitoring
6.5.1 Need for Reducing Cost Associated With Network Failures and Outages to Create Opportunities for ESP Solution Providers
6.6 Sales and Marketing
6.6.1 Huge Data Generated From Marketing and Retail Activities to Create Opportunities for Sales and Marketing Application Providers
6.7 Others

7 Market, By Component
7.1 Introduction
7.2 Solutions
7.2.1 Software Tools
7.2.1.1 Software Tools Enable Easy Integration of Event Stream Processing Capabilities With Developers' Applications
7.2.2 Platforms
7.2.2.1 ESP Platforms Offer A Complete Infrastructure to Enterprises for Processing Millions of Events in A Minimal Time
7.3 Services
7.3.1 Professional Services
7.3.1.1 Consulting Services to Assist Organizations in Implementing ESP Solutions
7.3.2 Managed Services
7.3.2.1 Managed Services to Gain Traction in Coming Years

8 Market, By Deployment Mode
8.1 Introduction
8.2 Cloud
8.2.1 Cloud Benefits to Boost the Growth of Cloud Deployment Mode
8.3 On-Premises
8.3.1 Data-Sensitive Organizations to Continue to Adopt On-Premises Deployment Mode

9 Event Stream Processing Market, By Type
9.1 Introduction
9.2 Data Integration
9.2.1 Demand for Data-Driven Decisions to Accelerate the Growth of ESP Solutions
9.3 Analytics
9.3.1 Analytics Solutions to Assist Enterprises Unleash the Value of Streaming Data

10 Market, By Vertical
10.1 Introduction
10.2 Banking, Financial Services, and Insurance
10.2.1 Banking, Financial Services, and Insurance Vertical to Be the Largest Adopter of ESP Solutions
10.3 It and Telecommunications
10.3.1 Telecommunications Vertical to Deploy ESP Solutions for Optimizing Network Performance, Detecting Frauds, and Boosting Network Functioning
10.4 Retail and Ecommerce
10.4.1 Increasing Digital Transformation to Drive the Adoption of ESP Solutions in Retail Vertical
10.5 Manufacturing
10.5.1 Increasing Focus of Manufacturers Toward Enhancement of Asset Life to Boost the Adoption of ESP Solutions in Manufacturing Vertical
10.6 Energy and Utilities
10.6.1 Increasing Focus on Reducing Equipment Failures to Help Grow Adoption of ESP Solutions
10.7 Transportation and Logistics
10.7.1 Transportation and Logistics Vertical to Grow at the Highest CAGR During the Forecast Period
10.8 Others

11 Event Stream Processing Market, By Region

12 Competitive Landscape
12.1 Overview
12.2 Ranking of Key Players
12.3 Competitive Scenario
12.3.1 New Product Launches and Product Enhancements
12.3.2 Partnerships and Collaborations
12.3.3 Mergers and Acquisitions
12.3.4 Expansions

13 Company Profiles

• AWS
• Confluent
• Dataartisans
• Databricks
• ESPertech
• EVAM
• Equalum
• Fico
• Google
• Hitachi Vantara
• IBM
• Informatica
• Microsoft
• Oracle
• Radicalbit
• Red Hat
• SAP
• SAS Institute
• Salesforce
• Software AG
• Sqlstream
• Streamanalytix
• Streamlio
• Striim
• Tibco

For more information about this report visit https://www.researchandmarkets.com/research/m3xrl4/event_stream?w=12

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

CONTACT: ResearchAndMarkets.com
         Laura Wood, Senior Press Manager
         press@researchandmarkets.com
         For E.S.T Office Hours Call 1-917-300-0470
         For U.S./CAN Toll Free Call 1-800-526-8630
         For GMT Office Hours Call +353-1-416-8900
Related Topics: Computing Services

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.